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Evaluation of different molecular systems for detection and quantification of SARS-CoV-2 RNA from wastewater samples.
Morecchiato, Fabio; Coppi, Marco; Niccolai, Claudia; Antonelli, Alberto; Di Gloria, Leandro; Calà, Piergiuseppe; Mancuso, Fabrizio; Ramazzotti, Matteo; Lotti, Tommaso; Lubello, Claudio; Rossolini, Gian Maria.
Afiliação
  • Morecchiato F; Department of Experimental and Clinical Medicine (DMSC), University of Florence, Largo Brambilla, 3, Firenze (FI) 50134, Italy.
  • Coppi M; Department of Experimental and Clinical Medicine (DMSC), University of Florence, Largo Brambilla, 3, Firenze (FI) 50134, Italy; Microbiology and Virology Unit, Careggi University Hospital, Largo Brambilla, 3, Firenze (FI) 50134, Italy.
  • Niccolai C; Department of Experimental and Clinical Medicine (DMSC), University of Florence, Largo Brambilla, 3, Firenze (FI) 50134, Italy; Microbiology and Virology Unit, Careggi University Hospital, Largo Brambilla, 3, Firenze (FI) 50134, Italy.
  • Antonelli A; Department of Experimental and Clinical Medicine (DMSC), University of Florence, Largo Brambilla, 3, Firenze (FI) 50134, Italy; Microbiology and Virology Unit, Careggi University Hospital, Largo Brambilla, 3, Firenze (FI) 50134, Italy.
  • Di Gloria L; Department of Experimental Biomedical and Clinical Sciences "Mario Serio" (SBSC), University of Florence, Viale Morgagni, 50, Firenze (FI) 50134, Italy.
  • Calà P; Tuscany Region, Department of Prevention Local Health Authority Tuscany Center, Via S. Salvi, 12, Firenze (FI) 50135, Italy.
  • Mancuso F; Ingegnerie Toscane - Area R&D, Via Bellatalla, 1, Pisa (PI) 56121, Italy.
  • Ramazzotti M; Department of Experimental Biomedical and Clinical Sciences "Mario Serio" (SBSC), University of Florence, Viale Morgagni, 50, Firenze (FI) 50134, Italy.
  • Lotti T; Department of Civil and Environmental Engineering (DICEA), University of Florence, Via di S. Marta, 3, Firenze (FI) 50139, Italy.
  • Lubello C; Department of Civil and Environmental Engineering (DICEA), University of Florence, Via di S. Marta, 3, Firenze (FI) 50139, Italy.
  • Rossolini GM; Department of Experimental and Clinical Medicine (DMSC), University of Florence, Largo Brambilla, 3, Firenze (FI) 50134, Italy; Microbiology and Virology Unit, Careggi University Hospital, Largo Brambilla, 3, Firenze (FI) 50134, Italy. Electronic address: gianmaria.rossolini@unifi.it.
J Virol Methods ; 328: 114956, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38796134
ABSTRACT
Wastewater-based epidemiology has proved to be a suitable approach for tracking the spread of epidemic agents including SARS-CoV-2 RNA. Different protocols have been developed for quantitative detection of SARS-CoV-2 RNA from wastewater samples, but little is known on their performance. In this study we compared three protocols based on Reverse Transcription Real Time-PCR (RT-PCR) and one based on Droplet Digital PCR (ddPCR) for SARS-CoV-2 RNA detection from 35 wastewater samples. Overall, SARS-CoV-2 RNA was detected by at least one method in 85.7 % of samples, while 51.4 %, 22.8 % and 8.6 % resulted positive with two, three or all four methods, respectively. Protocols based on commercial RT-PCR assays and on Droplet Digital PCR showed an overall higher sensitivity vs. an in-house assay. The use of more than one system, targeting different genes, could be helpful to increase detection sensitivity.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA Viral / Sensibilidade e Especificidade / Águas Residuárias / SARS-CoV-2 / COVID-19 Limite: Humans Idioma: En Revista: J Virol Methods Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA Viral / Sensibilidade e Especificidade / Águas Residuárias / SARS-CoV-2 / COVID-19 Limite: Humans Idioma: En Revista: J Virol Methods Ano de publicação: 2024 Tipo de documento: Article